AI Verify vs AIGR
AI Verify
aiverifyfoundation.sgAIGR
aigrglobal.comSide by side
| Figure | AI Verify | AIGR |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 0 | 0 |
| Spec score · AI Governance Software | 8.0 (#10) | 7.5 (#24) |
| Spec score · AI governance tools | 7.9 (#15) | 6.9 (#49) |
| Headquarters | Singapore | Toronto, Canada |
| Purpose | AI Verify is an AI governance testing framework and software toolkit that validates AI-system performance against internationally recognised principles through standardised tests. | AIGR develops AI Governance Ratings for organizations deploying AI in regulated and high-accountability environments. |
| Security | The Foundation says electronic storage and transmission of personal data are secured with appropriate security technologies. | AIGR’s privacy policy describes its services as designed around controlled access, evidence ownership and auditability, and lists safeguards such as role-based access, authentication controls, encryption where appropriate, logging and backup. |
| Standards alignment | The framework is mapped to NIST AI RMF, NIST AI RMF Generative AI Profile, Hiroshima Process Code of Conduct and ISO/IEC 42001. | AIGR maps external obligations and internal control expectations to evidence, while stating that this alignment does not imply certification, endorsement or legal compliance. |
In their own words
AI Verify
AI Verify is an open-source toolkit for evaluating AI systems, with technical tests for fairness, explainability, and robustness in traditional machine-learning models. Users can run tests through a Portal or command line, upload results, complete process checklists, and produce standard or customized reports. AIVT 2.0 supports tabular and image data, taking a model file, preprocessing pipeline, or model API as input. Plugins can extend the toolkit; Veritas adds fairness and transparency tests around threshold trade-offs and explainability plots. The broader framework assesses responsible implementation against 11 AI-governance principles and maps to frameworks and standards including NIST AI RMF and ISO/IEC 42001. Project Moonshot is a separate tool for LLM applications, offering benchmark testing and red teaming. The Toolkit is available under the Apache 2.0 license, with web, API, Linux, and self-hosted platforms listed. AI Verify does not set ethical standards or promise that tested systems are free of risks or biases, or completely safe.